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Adding Sentence Order Prediction #1061

Merged
merged 183 commits into from
Apr 24, 2020
Merged

Adding Sentence Order Prediction #1061

merged 183 commits into from
Apr 24, 2020

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pruksmhc
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@pruksmhc pruksmhc commented Apr 11, 2020

Adding Sentence Order Prediction Task for ALBERT
What this version of MLM supports: ALBERT embedder.
Below are the runs for MLM + SOP + intermediate task (which is how we intend to use SOP)
The results (on ALBERT) are:

Experiment description Intermediate Task Performance SOP performance
SST + SOP 0.85 0.95
QQP + SOP 0.95 0.94

phu-pmh and others added 30 commits October 30, 2019 15:05
…taparallel_metric_calculation

Conflicts:
	jiant/trainer.py
	jiant/utils/utils.py
@pyeres
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pyeres commented Apr 15, 2020

Hi @phu-pmh & @pruksmhc — I see this is a "[WIP]". What remains to be done or reviewed?

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phu-pmh commented Apr 15, 2020

Hi @phu-pmh & @pruksmhc — I see this is a "[WIP]". What remains to be done or reviewed?

I just pushed the instructions for data generation. Other than that, nothing left to be done or reviewed, I think.

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Okay—my major concerns have been addressed, though I'd still prefer Phil do the final review.

@pruksmhc pruksmhc changed the title Adding Sentence Order Prediction [WIP] Adding Sentence Order Prediction Apr 16, 2020
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@pyeres if you could take a look that would be great.

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pyeres commented Apr 16, 2020

Okay—my major concerns have been addressed, though I'd still prefer Phil do the final review.

Per conversation with @sleepinyourhat — my review will be focused on SentenceOrderTask.

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pyeres commented Apr 17, 2020

Capturing some notes from conversation with @pruksmhc out-of-band:

  • There are intentional differences between our implementation of SOP and the TF implementation — inline code comments will be added to call out these differences.
  • The docstrings will be updated to fully outline the version of the SOP implemented here.
  • @pruksmhc considers the SOP implementation to have been reviewed for correctness (already, by other reviewers).

@phu-pmh, @sleepinyourhat, @zphang for visibility as contributors/reviewers on this PR — I'll plan to resume review once the docstrings and comments (mentioned above) are added.

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@pruksmhc @phu-pmh I talked through this PR with Phil earlier today, and I think it'll be ready to go with two more smallish fixes:

Try to get to these before you do anything else non-emergency on jiant, and we can get this merged in. Thanks!

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Thanks @pruksmhc and @phu-pmh

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pyeres commented Apr 24, 2020

Below are the runs for MLM + SOP + intermediate task (which is how we intend to use SOP)

@pruksmhc — I'm not able to locate the run results you mentioned in the PR description (maybe they're buried somewhere else in the thread?). Please repost them in the PR description.

@pruksmhc pruksmhc merged commit ccad92a into master Apr 24, 2020
@jeswan jeswan added the jiant-v1-legacy Relevant to versions <= v1.3.2 label Sep 17, 2020
@jeswan jeswan deleted the add_sop branch September 22, 2020 03:41
leo-liuzy pushed a commit to leo-liuzy/dynamic_jiant that referenced this pull request Nov 11, 2020
* misc run scripts

* sbatch

* sweep scripts

* update

* qa

* update

* update

* update

* update

* update

* sb file

* moving update_metrics to outside scope of dataparallel

* fixing micro_avg calculation

* undo debugging

* Fixing tests, moving update_metrics out of other tasks

* remove extraneous change

* MLM task

* Added MLM task

* update

* fix multiple choice dataparallel forward

* update

* add _mask_id to transformers

* Update

* MLM update

* adding update_metrics abstraction

* delete update_metrics_ notation

* fixed wrong index problem

* removed unrelated files

* removed unrelated files

* removed unrelated files

* fix PEP8

* Fixed get_pretained_lm_head for BERT and ALBERT

* spelling check

* black formatting

* fixing tests

* bug fix

* Adding batch_size constraints to multi-GPU setting

* adding documentation

* adding batch size test

* black correct version

* Fixing batch size assertion

* generalize batch size assertion for more than 2 GPU setting

* reducing label loops in code

* fixing span forward

* Fixing span prediction forward for multi-GPU

* fix commonsenseQA forward

* MLM

* adding function documentation

* resolving nits, fixing seq_gen forward

* remove nit

* fixing batch_size assert and SpanPrediction task

* Remove debugging

* Fix batch size mismatch multi-GPU test

* Fix order of assert checking for batch size mismatch

* mlm training

* update

* sbatch

* update

* data parallel

* update data parallel stuffs

* using sequencelabel, using 1 paragraph per example

* update label mapping

* adding exmaples-porportion-mixing

* changing dataloader to work with wikitext103

* weight sampling

* add early stopping only onb one task

* commit

* Cleaning up code

* Removing unecessarily tracked git folders

* Removing unnecesary changes

* revert README

* revert README.md again

* Making more general for Transformer-based embedders

* torch.uint8 -> torch.bool

* Fixing indexing issues

* get rid of unecessary changes

* black cleanup

* update

* Prevent updating update_metrics twice in one step

* update

* update

* update

* Fixing SOP to work with jiant

* delete debugging

* tying pooler weights from ALBERT

* fixed SOP tie weight, and MLM vocab error

* dataset update for SOP

* removed pdb

* Fix ALBERT -> MLM problem, reduce amount of times get_data_iter is called

* delete debugging

* adding utf-8 encoding

* Removing two-layer MLM class hierarchy

* MLM indexing bug

* fixing MLM error

* removed rest of the shifting code

* adding

* fixing batch[inputs] error

* change corpus to wikipedia raw

* change corpus to wikipedia raw

* Finish merge

* style

* Revert rest of mlm_weight

* Revert LM change

* Revert

* Merging SOP

* Improving documentation

* Revert base_roberta

* revert unecessary change

* Correcting documentation

* revert unnecessary changes

* Refactoring SOP to make clearer

* Adding SOPClassifier

* Fixing SOP Task

* Adding further documentation

* Adding more description of dataset

* fixing merge conflict

* cleaning up unnecessary files

* Making documentation clearer about our implementation of ALBERT SOP

* Fix docstring

* Refactoring SOP back as a PairClassificationTask, adding more documentation

* Adding more documentation, adding process_split

* Fix typo in comment

* Adding modified SOP code

* fixing based on comments

* fixing len(current_chunk)==1 condition

* fixing len(current_chunk)==1 condition

* documentation fix

* minor fix

* minor fix: tokenizer

* minor fix: current_length update

* minor fix: current_length update

* minor fix

* bug fix

* bug fix

* Fixing document leakage bug

* Fixing document delimiting bug

* Cleaning up test

* Black style

* Accurately updating current_length based on when len for_next_chunk > 2

* SOP data generation insturctions

* Fix documentation

* Fixing docstrings and adding source of code

* Fixing typos and data script documentation

* Revert merge mistake

Co-authored-by: phu-pmh <phumon91@gmail.com>
Co-authored-by: Haokun Liu <haokunliu412@gmail.com>
Co-authored-by: pruksmhc <pruks22y@mtholyoke.edu>
Co-authored-by: DeepLearning VM <google-dl-platform@googlegroups.com>
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8 participants